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Antoine Soetewey
I am a PhD student in statistics at UCLouvain in Belgium, within the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA). My research interests focus on bio-statistical procedures applied to cancer patients.
In parallel with my doctoral thesis, I am teaching assistant for several courses in statistics and probability at bachelor and master’s level and I provide trainings and workshops in statistics and R programming for UCLouvain’s technology platform for Statistical Methodology and Computing Service (SMCS).
In my spare time, I write about statistics and some of its applications in R on my blog statsandr.com.
Education
PhD Student in Statistics
UCLouvain
Louvain-la-Neuve, Belgium
Current - 2017
- Thesis: Life and Health Actuarial Pricing: a Biostatistics Approach (supervisors: Prof. Catherine Legrand and Prof. Michel Denuit)
- All publications, posters and talks available at antoinesoetewey.com/research
MSc in Econometrics and Operations Research
Maastricht University
Maastricht, The Netherlands
2016 - 2015
- Specialisation in Econometrics
- Thesis: Combining Professional and Survey Forecasts for Macroeconomic Data (supervisor: Prof. Nalan Basturk) | ISBN: 978-3659660801
MSc in Economics
Katholieke Universiteit Leuven
Leuven, Belgium
2015 - 2013
- Thesis: Negativity Bias and Framing Effect in Charity Donations: a Field Experiment (supervisor: Prof. Jo Swinnen)
Teaching Experience
Teaching Assistant in Statistics
UCLouvain
Louvain-la-Neuve, Belgium
Current - 2017
- Teaching assistant for several courses in statistics and probability (Bachelor & Master course level)
- See all courses at antoinesoetewey.com/teaching
Training in statistics and R programming
UCLouvain’s technology platform for Support in Methodology and Statistical Computing
Louvain-la-Neuve, Belgium
Current - 2018
- Statistical and data analysis consulting for professionals and academics
- Instructor for the university certificates “Introduction to data analysis with R”, “Junior Data Analyst” & “Practice of statistics with R”
Selected Industry Experience
Data Scientist
Business & Decision
Brussels, Belgium
2017 - 2016
- Gartner-recognized leader in Data & Analytics
- Followed several trainings focusing on technical and soft skills: R, Tableau, SAS, SQL, Python, data modelling, consulting skills, project management
- Involved in several projects at the client site, focusing on data science and data visualization